
Worked on the apify/crawlee-python repository to address documentation inconsistencies affecting dataset and queue naming conventions. Focused on updating Python-based documentation examples by replacing storage names containing underscores with hyphenated alternatives, thereby aligning with the SDK’s requirements and preventing runtime errors. This targeted fix improved error handling and reduced confusion for developers integrating with Crawlee, supporting a smoother onboarding process and minimizing support requests related to invalid names. The approach emphasized maintainability and cross-team consistency, ensuring that documentation accurately reflected best practices. The work leveraged Python and technical writing skills to enhance overall developer experience and repository stability.
February 2026 monthly summary for apify/crawlee-python: Delivered a targeted documentation update to standardize storage naming by switching examples from underscores to hyphenated names, reducing usage errors and improving compatibility across datasets and queues. This change supports better developer experience and aligns with naming conventions, mitigating runtime issues related to disallowed characters. Emphasis on maintainability and cross-team consistency, with a low-risk patch quickly deployed.
February 2026 monthly summary for apify/crawlee-python: Delivered a targeted documentation update to standardize storage naming by switching examples from underscores to hyphenated names, reducing usage errors and improving compatibility across datasets and queues. This change supports better developer experience and aligns with naming conventions, mitigating runtime issues related to disallowed characters. Emphasis on maintainability and cross-team consistency, with a low-risk patch quickly deployed.

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